An assessment of conservation effects in Shilin Karst of South China Karst

Jin, Dongping; Li, Yuhui; Huang, Jin

doi:10.1007/s12665-012-1785-x

Cited by 14 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multiple sources of remotely sensed data such as multispectral satellite sensors, aerial videography, acoustic ground stations, and small UAV imaging surveys contribute to assessment of the effectiveness of conservation actions. These actions may include the creation of protected areas (Sieber et al 2013), reduction of anthropogenic levels of light (Rodrigues et al 2012), or sustainable management of ecosystems and the services they provide (Duan et al 2013).…”

Section: Conservation Effectivenessmentioning

confidence: 99%

Ten ways remote sensing can contribute to conservation

Rose

Byler

Eastman

et al. 2014

Conservation Biology

199

154

View full text Add to dashboard Cite

In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group of remote sensing scientists affiliated with government and academic institutions and conservation organizations identified 10 questions in conservation for which the potential to be answered would be greatly increased by use of remotely sensed data and analyses of those data. Our goals were to increase conservation practitioners' use of remote sensing to support their work, increase collaboration between the conservation science and remote sensing communities, identify and develop new and innovative uses of remote sensing for advancing conservation science, provide guidance to space agencies on how future satellite missions can support conservation science, and generate support from the public and private sector in the use of remote sensing data to address the 10 conservation questions. We identified a broad initial list of questions on the basis of an email chain-referral survey. We then used a workshop-based iterative and collaborative approach to whittle the list down to these final questions (which represent 10 major themes in conservation): How can global Earth observation data be used to model species distributions and abundances? How can remote sensing improve the understanding of animal movements? How can remotely sensed ecosystem variables be used to understand, monitor, and predict ecosystem response and resilience to multiple stressors? How can remote sensing be used to monitor the effects of climate on ecosystems? How can near real-time ecosystem monitoring catalyze threat reduction, governance and regulation compliance, and resource management decisions? How can remote sensing inform configuration of protected area networks at spatial extents relevant to populations of target species and ecosystem services? How can remote sensing-derived products be used to value and monitor changes in ecosystem services? How can remote sensing be used to monitor and evaluate the effectiveness of conservation efforts? How does the expansion and intensification of agriculture and aquaculture alter ecosystems and the services they provide? How can remote sensing be used to determine the degree to which ecosystems are being disturbed or degraded and the effects of these changes on species and ecosystem functions?

show abstract

Section: Conservation Effectivenessmentioning

confidence: 99%

Ten ways remote sensing can contribute to conservation

Rose

Byler

Eastman

et al. 2014

Conservation Biology

199

154

View full text Add to dashboard Cite

show abstract

“…Restoring the vegetation in the degraded karst areas is a major challenge for biodiversity conservation and regional development 30 , 31 , since these areas have undergone longtime environmental degradation and biodiversity loss due to geological and climatic processes, as well as intense human activities 32 , 33 . However, the recent discoveries of tiankengs (large dolines) in the karst area of southwestern China have shed light on this goal, because tiankeng habitats may have preserved the intact vegetation from a long–ago period.…”

Section: Discussionmentioning

confidence: 99%

Karst tiankengs as refugia for indigenous tree flora amidst a degraded landscape in southwestern China

Tang

et al. 2017

Sci Rep

View full text Add to dashboard Cite

We conducted floristic and community analyses to compare the floristic composition, forest structure, taxonomic richness, and species diversity between two tiankeng (large doline, or sinkhole) habitats and two outside-tiankeng habitats of forest fragments in a degraded karst area in southwestern China. We found remarkably higher taxonomic richness in the tiankeng habitats than in the outside-tiankeng habitats at the species, generic, and familial levels. The inside-tiankeng habitats had higher floristic diversity but lower dominance. The remarkably higher uniqueness at all taxonomic levels and the much larger tree size in the two tiankeng habitats than in the outside-tiankeng habitats demonstrated the old-growth and isolated nature of the tiankeng flora. Plot-scale species richness, Shannon-Wiener index, Pielou’s evenness, and Berger-Parker dominance significantly differed across habitats. Heterogeneity in floristic composition at the species, generic, and familial levels was extremely significant across habitats. In pairwise comparisons, except for the Chuandong Tiankeng-Shenmu Tiankeng pair, all the pairs showed significant between-habitat heterogeneity in floristic composition. Our results suggest that as oases amidst the degraded karst landscape, tiankengs serve as modern refugia that preserve old-growth forest communities with their rich floristic diversity, and can provide a model for habitat conservation and forest restoration in that area.

show abstract

“…Different types of ESs varied in response to the magnitude of rocky desertification, which mainly reshaped ESs in soil retention and water yield but did not cause distinct differences in C storage and crop production [44]. These regulation ESs, plus provision ESs, were formed through changes in ecological factors following the growing area of stony land conversion, but ESs in urban sprawl bundle were shaped with a higher reliability on socioeconomic factors [42]. However, findings about the ESV in the Chinese Karst ecosystem did not fully concur with ESs on Karst lands with varied levels of rocky desertification.…”

Section: Introductionmentioning

confidence: 99%

“…The Karst ecosystem is suffering from ecological degradation due to rocky desertification; some regions of southwestern China are characterized as some of the largest Karst landforms globally [40,41]. The literature documents highly heterogeneous distribution patterns of eight ESs in the Karst ecosystem of Guizhou [42], which was formed by contrasting driving forces between urbanization and restoration [43]. Different types of ESs varied in response to the magnitude of rocky desertification, which mainly reshaped ESs in soil retention and water yield but did not cause distinct differences in C storage and crop production [44].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Perceptions Using Facial Expression Scores on Ecological Service Value of Blue and Green Spaces in 61 Parks in Guizhou

Wang,

Zhou

2024

Sustainability

View full text Add to dashboard Cite

This study selected 61 parks in Guizhou province as research points and collected 3282 facial expression photos of park visitors in 2021 on the Sina Weibo platform. FireFACE v1.0 software was used to analyze the facial expressions of the visitors and evaluate their emotional perception of the landscape structure and ecosystem service value (ESV) of different landscape types of blue–green spaces. Research shows that the average ESV of green spaces in parks is USD 6.452 million per year, while the average ESV of blue spaces is USD 3.4816 million per year. The ESV of the blue–green space in the park shows no geographical gradient changes, while the happiness score in facial expressions is negatively correlated with latitude. Compared to blue spaces, green spaces can better awaken positive emotions among visitors. The ESV performance of different types of green spaces is as follows: TheroponcedrymV > GrasslandV > Shrubland V. The landscape structure and ESV of the blue–green space in the park can be perceived by visitors, and GreenV and vegetation height are considered the main driving factors for awakening positive emotions among visitors. In Guizhou, when the park area decreases, people are more likely to experience sadness. Regressions indicated that by increasing the green space area of the park and strengthening the hydrological regulation function of the blue–green space, people can achieve a more peaceful mood. Overall, people perceive more positive sentiments with high ESV in blue–green spaces of Karst parks but low ESV in shrubland.

show abstract

An assessment of conservation effects in Shilin Karst of South China Karst

Cited by 14 publications

References 20 publications

Ten ways remote sensing can contribute to conservation

Ten ways remote sensing can contribute to conservation

Karst tiankengs as refugia for indigenous tree flora amidst a degraded landscape in southwestern China

Evaluation of Perceptions Using Facial Expression Scores on Ecological Service Value of Blue and Green Spaces in 61 Parks in Guizhou

Contact Info

Product

Resources

About